CAREER: Enabling grid-aware aggregation and real-time control of distributed energy resources in electric power distribution systems

职业：实现配电系统中分布式能源的网格感知聚合和实时控制

• 批准号: 2047306
• 负责人: Mads Almassalkhi
• 金额: $ 50万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-03-01 至 2026-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2047306&HistoricalAwards=false
• 关键词: CAREER; Enabling; grid; aware; aggregation

This NSF CAREER project aims to advance the field of power systems to enable a reliable, affordable, and clean energy future by leveraging flexibility from millions of heterogeneous, connected distributed energy resources (DERs), such as controllable loads, energy storage, and distributed generation. The project will bring transformative change to distribution system operations by creating a novel cooperative paradigm for grid and DER management. The intellectual merits of the project include advancing fundamental understanding of and theory for optimizing and controlling electric power distribution systems, including novel algorithms that formally certify a range of admissible DER controllers. The broader impacts of the project include casting power systems as a climate-change mitigation technology and developing an online DER+Grid simulation platform that enhances the power engineering curriculum at University of Vermont and the university's approach to an inclusive STEM education. This will attract diverse people and empower them to tackle climate challenges. A new interdisciplinary course for non-STEM students will be developed to build valuable coding skills within the framework of gamification and a clean energy future to allow students to critically assess challenges and opportunities. Through these games, the PI intends to build an online portal that raises public awareness of and enables meaningful participation in power systems.Today's power distribution system operations are top-down and rely on conservative margins that limit deployments and coordination of DERs and precludes independent aggregators. To overcome barriers posed by the asymmetry of information and control between the distribution system operator (DSO) and DER aggregators, the PI proposes two research objectives: 1) Study scalable optimization algorithms that enable the DSO to dynamically maximize the capacity of distribution feeders to host flexible demand and DERs, while accounting for the nonlinear AC physics, practical network topologies and assets, and uncertain power injections; and 2) Develop control algorithms that enable DER aggregators to participate in valuable grid services while certifying that control actions are network-admissible. The algorithms will be based on convex inner approximations, which promote scalability for large feeders. All proposed work will be validated using data from utilities and aggregators within a real-time DER+Grid simulation platform that represents a gateway for undergraduates to actively contribute to interdisciplinary research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个NSF CAREER项目旨在推进电力系统领域，通过利用数百万异构、互联的分布式能源（DER）的灵活性，如可控负载、储能和分布式发电，实现可靠、经济和清洁的能源未来。该项目将通过为电网和DER管理创建一个新的合作模式，为配电系统运营带来变革性的变化。该项目的智力优势包括推进对优化和控制配电系统的基本理解和理论，包括正式证明一系列可接受的DER控制器的新算法。该项目的更广泛影响包括将电力系统作为一种气候变化缓解技术，并开发一个在线DER+电网仿真平台，以增强佛蒙特大学的电力工程课程和该大学的包容性STEM教育方法。这将吸引不同的人，并使他们有能力应对气候挑战。将为非STEM学生开发一门新的跨学科课程，以在游戏化和清洁能源未来的框架内建立宝贵的编码技能，让学生批判性地评估挑战和机遇。通过这些游戏，PI打算建立一个在线门户网站，提高公众对电力系统的认识，并实现有意义的参与。今天的配电系统运营是自上而下的，依赖于保守的利润率，限制了DER的部署和协调，并排除了独立的聚合器。为了克服配电系统运营商（DSO）和DER集成商之间的信息和控制不对称所带来的障碍，PI提出了两个研究目标：1）研究可扩展的优化算法，使DSO能够动态地最大化配电馈线的容量以容纳灵活的需求和DER，同时考虑非线性AC物理，实际网络拓扑和资产以及不确定的功率注入;以及2）开发控制算法，使DER聚合器能够参与有价值的网格服务，同时证明控制动作是网络可接受的。该算法将基于凸内部近似，这将促进大型馈线的可扩展性。所有提议的工作都将在实时DER+Grid模拟平台中使用来自公用事业和聚合器的数据进行验证，该平台代表了本科生积极为跨学科研究做出贡献的门户。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

Grid-aware aggregation and realtime disaggregation of distributed energy resources in radial networks

辐射状网络中分布式能源的网格感知聚合和实时分解

• DOI: 10.1109/tpwrs.2021.3121215
• 发表时间: 2021
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Nazir, Nawaf;Almassalkhi, Mads
• 通讯作者: Almassalkhi, Mads

Guaranteeing a Physically Realizable Battery Dispatch Without Charge-Discharge Complementarity Constraints

• DOI: 10.1109/tsg.2021.3109805
• 发表时间: 2021-03
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Nawaf Nazir;M. Almassalkhi

Market mechanism to enable grid-aware dispatch of Aggregators in radial distribution networks

• 发表时间: 2022-07
• 作者: Nawaf Nazir;M. Almassalkhi

Real-Time Grid and DER Co-Simulation Platform for Testing Large-Scale DER Coordination Schemes

用于测试大规模分布式能源协调方案的实时电网和分布式能源联合仿真平台

• DOI: 10.1109/tsg.2022.3184491
• 发表时间: 2022
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Khurram, Adil;Amini, Mahraz;Espinosa, Luis A. Duffaut;Hines, Paul D. H.;Almassalkhi, Mads R.
• 通讯作者: Almassalkhi, Mads R.

Chance-Constrained Generic Energy Storage Operations Under Decision-Dependent Uncertainty

• DOI: 10.1109/tste.2023.3262135
• 发表时间: 2022-01
• 期刊: IEEE Transactions on Sustainable Energy
• 影响因子: 8.8
• 作者: Ning Qi;P. Pinson;M. Almassalkhi;Lin Cheng-;Yingrui Zhuang